Submission¶

Put the ipynb file and html file in the github branch you created in the last assignment and submit the link to the commit in brightspace

In [152]:
from plotly.offline import init_notebook_mode
import plotly.io as pio
import plotly.express as px

init_notebook_mode(connected=True)
pio.renderers.default = "plotly_mimetype+notebook"
In [153]:
#load data
df = px.data.gapminder()
df.head()
Out[153]:
country continent year lifeExp pop gdpPercap iso_alpha iso_num
0 Afghanistan Asia 1952 28.801 8425333 779.445314 AFG 4
1 Afghanistan Asia 1957 30.332 9240934 820.853030 AFG 4
2 Afghanistan Asia 1962 31.997 10267083 853.100710 AFG 4
3 Afghanistan Asia 1967 34.020 11537966 836.197138 AFG 4
4 Afghanistan Asia 1972 36.088 13079460 739.981106 AFG 4

Question 1:¶

Recreate the barplot below that shows the population of different continents for the year 2007.

Hints:

  • Extract the 2007 year data from the dataframe. You have to process the data accordingly
  • use plotly bar
  • Add different colors for different continents
  • Sort the order of the continent for the visualisation. Use axis layout setting
  • Add text to each bar that represents the population
In [154]:
df = px.data.gapminder()

df_2007 = df[df['year'] == 2007]

population_by_continent = df_2007.groupby('continent')['pop'].sum().reset_index()
fig = px.bar(
    population_by_continent,
    x='pop',
    y='continent',
    color='continent',  
    labels={'pop': 'Population','continent': 'Continent'},
    title='Population of Continents in 2007'
)

fig.show()

Question 2:¶

Sort the order of the continent for the visualisation

Hint: Use axis layout setting

In [155]:
fig.update_yaxes(categoryorder='total ascending')

fig.show()

Question 3:¶

Add text to each bar that represents the population

In [156]:
fig = px.bar(
    population_by_continent,
    x='pop',
    y='continent',
    color='continent',  
    labels={'pop': 'Population','continent': 'Continent'},
    title='Population of Continents in 2007',
    text = 'pop'
)
fig.update_yaxes(categoryorder='total ascending')

fig.update_traces( textposition='outside')

fig.show()

Question 4:¶

Thus far we looked at data from one year (2007). Lets create an animation to see the population growth of the continents through the years

In [157]:
grouped_df = df.groupby(['continent', 'year'])['pop'].sum().reset_index()

fig = px.bar(
    grouped_df,
    x='pop',
    y='continent',
    color='continent',  
    labels={'pop': 'Population','continent': 'Continent'},
    animation_frame='year',  
    title='Total Population of Continents Over the Years',
    text = 'pop'
)

fig.update_yaxes(categoryorder='total ascending')

fig.update_traces( textposition='outside')

fig.show()

Question 5:¶

Instead of the continents, lets look at individual countries. Create an animation that shows the population growth of the countries through the years

In [158]:
fig = px.bar(
    df,
    x='pop',
    y='country',
    color='country',  
    labels={'pop': 'Population','country': 'Country'},    animation_frame='year',  
    title='Total Population of Countries Over the Years',
)

fig.update_yaxes(categoryorder='total ascending')


fig.show()

Question 6:¶

Clean up the country animation. Set the height size of the figure to 1000 to have a better view of the animation

In [159]:
fig = px.bar(
    df,
    x='pop',
    y='country',
    color='country',  
    labels={'pop': 'Population','country': 'Country'},  
    title='Total Population of Countries Over the Years',
    animation_frame='year',  
    height = 1000,
)

fig.update_yaxes(categoryorder='total ascending')


fig.show()

Question 7:¶

Show only the top 10 countries in the animation

Hint: Use the axis limit to set this.

In [172]:
def get_top_10_populated_countries(group):
    return group.nlargest(10, 'pop')

top_10_populated = df.groupby('year', group_keys=False).apply(get_top_10_populated_countries)

fig = px.bar(
    top_10_populated,
    x='pop',
    y='country',
    color='country',  
    labels={'pop': 'Population','country': 'Country'},  
    title='Total Population of Countries Over the Years',
    animation_frame='year',  
    height = 1000,
)
fig.update_yaxes(categoryorder='total ascending')


fig.show()
In [ ]: